Yield Development Engineer

Job Title

Yield Development Engineer

Role Summary

Lead yield-improvement efforts across technology development and high-volume manufacturing to identify yield limiters, drive root-cause analysis, and implement process and product changes. Work in cross-functional teams (process integration, defect engineering, electrical fault isolation, and design) to develop data-driven methods, tools, and strategies that enable meeting yield milestones and smooth new-product introductions.

Experience Level

Mid-level (Experienced hire). Candidates are expected to have relevant industry experience in semiconductor processing, devices, or nanotechnology; see Education Requirements for degree and years guidance.

Responsibilities

Accountable for statistical and data-driven activities that improve yield, support failure analysis, and enable manufacturability.

• Perform statistical analysis and build process development roadmaps to meet technology yield milestones.
• Aggregate and analyze diverse data sources to identify defect modes and construct yield models.
• Develop multivariate algorithms and machine-learning approaches for high-volume data analysis.
• Extract insights from structured and unstructured data using coding, ML, and advanced statistics.
• Collaborate with process integration, defect engineering, electrical fault isolation, and design teams to debug yield detractors.
• Conduct fault isolation and failure analysis to determine root causes of yield-impacting issues.
• Develop tools and systems to convert manufacturing data into actionable yield-improvement strategies.
• Support new product introductions and participate in factory task forces to ensure process optimization.

Requirements

Must-have technical skills and relevant hands-on experience; preferred items listed separately.

• Relevant experience in semiconductor processing, semiconductor devices, or nanotechnology; see Education Requirements for degree/years guidance.
• Proficiency with data analysis systems, machine-learning techniques, and coding for large datasets.
• Experience with optical probing or metrology methods and fault isolation/failure analysis techniques.
• Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE).
• Experience developing software/tools or full-stack applications and working with cloud-based platforms to support manufacturing data workflows.
• Ability to collaborate in cross-functional and matrixed teams and to communicate technical findings to stakeholders.
• One or more years of hands-on experience in at least one of the above technical areas (data analysis/ML, optical/metrology, SPC/DOE, or software development).

Nice-to-have:

• Experience maintaining and troubleshooting semiconductor equipment.
• Experience in yield modeling methodologies and advanced device-interaction modeling.
• Experience presenting yield strategies and managing projects in complex environments.

Education Requirements

Degree options accepted: Bachelor's, Master's, or PhD in Engineering, Physical Sciences, Computer Science, or a related technical field. Typical experience guidance from the posting: Bachelor's + 3+ years relevant experience, Master's + 2+ years relevant experience, or PhD (no specific additional experience required). The posting also notes that required experience may be obtained via coursework, research, internships, or prior roles.

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.